Publication: Semantic models to indicate post-truth with fake news channels
Дата
2020
Авторы
Kosikov, S.
Maslov, M.
Dohrn, J.
Ismailova, L.
Wolfengagen, V.
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© 2020 The Authors. Published by Elsevier B.V.The notion of post-truth currently is used for denoting circumstances in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief. At present, the post-truth, which means any fact that is interpreted in that system of values that you already know and are already familiar with, is taking an increasing share in the information space. Post-truth means circumstances in which objective facts have less influence on the formation of public opinion than emotions or personal beliefs. In this space, the subject is vulnerable to targeted informational impact, and his cognitive activity is redirected under the influence of the environment. In fact, from the point of view of information processes, the subject is not even in the world of post-truth, but in the world of fake news, which is beginning to crowd out healthy information resources. A semantic model of such an information space is proposed, which allows one to record the occurrence of a channel of potential undesirable effects. A computational model of the channeled impact is formulated on the basis of the original model of the interaction of information processes when the formation of an erroneous opinion (bug) for an information resource (Page) with its damage (harm), i.e. causing damage by indicating a false benefit (fake), provided that the user of the resource pursues (hit) a certain interest or benefit (Gain).
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Semantic models to indicate post-truth with fake news channels / Kosikov, S. [et al.] // Procedia Computer Science. - 2020. - 169. - P. 297-303. - 10.1016/j.procs.2020.02.182